code: def _test_any_sparse_combinations():
      cases = [
          ("TestCase_0", lambda: (), False),
          ("TestCase_1", lambda: (tensor.Tensor), False),
          ("TestCase_2", lambda: (((tensor.Tensor))), False),
          ("TestCase_3", lambda: (tensor.Tensor, tensor.Tensor), False),
          (
              "TestCase_4",
              lambda: (tensor.Tensor, sparse_tensor.SparseTensor),
              True,
          ),
          (
              "TestCase_5",
              lambda: (
                  sparse_tensor.SparseTensor,
                  sparse_tensor.SparseTensor,
              ),
              True,
          ),
          (
              "TestCase_6",
              lambda: (((sparse_tensor.SparseTensor))),
              True,
          ),
      ]
  
      def reduce_fn(x, y):
          name, classes_fn, expected = y
          return x + combinations.combine(
              classes_fn=combinations.NamedObject(
                  "classes_fn.{}".format(name), classes_fn
              ),
              expected=expected,
          )
  
      return functools.reduce(reduce_fn, cases, [])
  
imports: import functools
  from absl.testing import parameterized
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.util import nest
  from tensorflow.python.data.util import sparse
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling a global function with example usage: _test_any_sparse_combinations() and returns: functools, unknown